cv-analysis-final-stage2

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cv-analysis-final-stage2

This model is a fine-tuned version of OsamaHayba/qwen-ats-merged-stage1 on the ats_train dataset. It achieves the following results on the evaluation set:

• Loss: 0.1801

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 0.1
• num_epochs: 2.0
• mixed_precision_training: Native AMP

Training results

Framework versions

• PEFT 0.18.1
• Transformers 5.0.0
• Pytorch 2.8.0+cu129
• Datasets 4.0.0
• Tokenizers 0.22.2